Search Results for "learning classifier system"
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Showing 18 open source projects for "learning classifier system"
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RuView
Turn WiFi signals into real-time human sensing and spatial awareness.
...The system runs on low-cost hardware such as ESP32 sensor meshes and performs signal processing and machine learning directly at the edge. By learning the RF signature of each environment over time, RuView adapts automatically to different spaces and improves its sensing accuracy. Designed for applications ranging from healthcare monitoring to disaster response, it enables spaces to gain spatial awareness using the radio signals already present in the environment. -
2
RustScan
The Modern Port Scanner
The Modern Port Scanner. Find ports quickly (3 seconds at its fastest). Run scripts through our scripting engine (Python, Lua, Shell supported). Scans all 65k ports in 3 seconds. Full scripting engine support. Automatically pipe results into Nmap, or use our scripts (or write your own) to do whatever you want. Adaptive learning. RustScan improves the more you use it. No bloated machine learning here, just basic maths. The usuals you would expect. IPv6, CIDR, file input and more.... -
3
Cog
Package and deploy machine learning models using Docker containers
Cog is an open source tool designed to package machine learning models into standardized, production-ready containers. It simplifies the process of deploying models by automatically generating Docker images based on a simple configuration file, eliminating the need to manually write complex Dockerfiles. Developers can define the runtime environment, dependencies, and Python versions required for their models, allowing Cog to build a consistent container environment that follows best... -
4
Gameboy
Full featured Cross-platform GameBoy emulator by Rust
...The project emphasizes core components such as CPU instruction decoding, memory management, and basic graphics rendering, providing insight into how the original hardware operates. It is often used as a learning tool for understanding low-level system emulation, including timing, interrupts, and cartridge handling. Compared to more advanced emulators, it may lack full feature parity or optimization, but it compensates with readability and conceptual transparency. Its modular structure allows developers to extend or modify individual components for experimentation. -
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5
Moss
Rust Linux-compatible kernel
Moss Kernel is an open-source operating system kernel project designed to explore modern OS design and provide a foundation for experimental system research and development. Rather than replicating traditional monolithic kernels exactly, it emphasizes modularity, safety, and simplicity by incorporating well-structured subsystems for memory management, scheduling, and device abstraction that are easy for contributors to understand and extend. -
6
k23
Experimental WASM Microkernel Operating System
k23 is a microkernel-based operating system project written in Zig, an emerging systems programming language focused on safety, simplicity, and performance. k23 explores the design of modern OS features like message-passing, memory protection, and modular service construction using Zig’s powerful low-level capabilities. It is an experimental and educational project intended to show how Zig can be used for robust, readable systems programming while enabling contributors to rethink traditional... -
7
MusicGPT
Generate music based on natural language prompts using LLMs
...The software allows users to run advanced music generation systems directly on their own devices without requiring heavy dependencies such as Python or full machine learning frameworks. Instead, it provides a lightweight environment capable of executing music generation models locally on CPUs or GPUs while maintaining strong performance across operating systems including Windows, macOS, and Linux. Users can describe a musical style, mood, or instrumentation using text prompts, and the system produces original audio samples based on those instructions. ... -
8
Rust Training Books
Beginner, advanced, expert level Rust training material
Rust Training Books is a comprehensive educational repository created to teach developers the Rust programming language through structured lessons, exercises, and practical examples. It is designed to guide learners from basic concepts such as ownership and borrowing to more advanced topics like concurrency, performance optimization, and system-level programming. The material emphasizes hands-on learning, encouraging users to actively write and experiment with code rather than passively reading documentation. It reflects Rust’s core philosophy of safety and performance, helping developers understand how to write efficient and memory-safe applications. The repository is organized in a modular way, allowing learners to progress step by step while reinforcing concepts through exercises and real-world scenarios. ... -
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DeepProve
Framework to prove inference of ML models blazingly fast
DeepProve is an advanced cryptographic framework designed to verify machine learning model inference using zero-knowledge proofs, enabling trustless validation of AI computations without exposing underlying data. The project focuses on zkML, a rapidly emerging field that combines machine learning with zero-knowledge cryptography to ensure both privacy and correctness. It supports neural network architectures such as multilayer perceptrons and convolutional neural networks, allowing... -
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10
Korvus
Korvus is a search SDK that unifies the entire RAG pipeline
...By leveraging PostgresML and vector extensions such as pgvector, Korvus eliminates the need for external microservices typically used for AI search architectures, reducing both system complexity and latency. The architecture enables machine learning operations to occur directly in the database, minimizing data transfer between services and improving overall performance for large datasets. -
11
RuVector
Self-Learning, Vector Graph Neural Network, and Database built in Rust
RuVector is part of the broader rUv ecosystem of AI engineering tools and focuses on enabling advanced vector-based processing and intelligent system development within agentic and AI-driven pipelines. The project fits into a larger vision of modular, composable AI infrastructure designed to support autonomous agents, data retrieval, and intelligent automation workflows. It emphasizes extensibility and interoperability with modern AI stacks, allowing developers to integrate vector operations... -
12
ortu
ORTU is a fast, lightweight, cross-platform clipboard manager built wi
Ortu remembers what you copy so you can paste it again later — instantly, from the keyboard, and without sending anything to the cloud. Everything lives in a local SQLite database on your machine. It captures text, images, and files, auto-organizes clips into groups, masks detected secrets, and ships a power-user paste stack for pasting several items in sequence across apps. -
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HydraDragonAntivirus
Open Source Antivirus/XDR for Windows operating system
Dynamic and static analysis with Real Time Malware Analysis with Antivirus for Windows, including open-source XDR (3 EDR projects), ClamAV, YARA-X, machine learning AI, behavioral analysis, Unpacker, Deobfuscator, Decompiler, website signatures, Ghidra, Suricata, Sigma, Kernel, Hypervisior based protection and much more than you can imagine. -
14
talus-process-monitor
eBPF ransomware detection with auto-kill for Linux
talus is an endpoint detection & response agent for Linux, written in Rust. Ransomware on Linux is usually detected when the backup job starts encrypting the backups. Talus watches file operations at the kernel level and reacts in seconds — not after the fact. - eBPF tracepoints: execve / openat / unlink / mkdir — no kernel module, no LSM patching - per-PID scoring with a 1-second sliding window over file-operation rates - automated response: SIGKILL the offending process the... -
15
Anya
A malware analysis platform built in Rust
Anya is a privacy-first static malware analysis tool for Windows, Linux, and macOS. It combines PE, ELF, and Mach-O binary analysis with MITRE ATT&CK mapping, confidence-based risk scoring, and plain-English explanations. All offline, with zero network calls. Built for analysts and students alike, it ships as both a CLI and a desktop GUI. -
16
Felix OS
Experimental operating system written in Rust
...It runs on x86_64 platforms via QEMU and includes a basic shell and ELF binary loader, making it an excellent resource for learning OS fundamentals. -
17
Fuso
Lightweight intranet penetration, port forwarding tool
...The project supports multiple connections, cascading proxy behavior, transmission encryption, and both TCP and UDP forwarding workflows. It can also work with SOCKS5 scenarios, including UDP forwarding in newer releases. Fuso is useful for developers and system administrators who need controlled access to services behind NAT, firewalls, or private networks. The project is best understood as a compact tunneling utility for learning, testing, and authorized network access rather than a commercial remote-access platform. -
18
Weld
High-performance runtime for data analytics applications
...By combining operations from multiple libraries into a single optimized execution plan, Weld can significantly improve performance in analytics and machine learning pipelines.
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